Enterprise Product Manager (AI)

TL;DR

Enterprise Product Manager (AI): Leading the evolution of an AI infrastructure platform for large-scale organizations with an accent on security, governance, and enterprise adoption. Focus on building trusted workflows around access management, cost optimization, and scaling AI solutions for Fortune 500 customers.

Location: Must be based in the United States

Company

A rapidly evolving technology company focusing on cutting-edge AI infrastructure and enterprise AI adoption.

What you will do

• Own the enterprise product roadmap, from procurement and security requirements to long-term customer success.
• Partner with enterprise customers to translate feedback into product priorities for large-scale deployments.
• Develop platform capabilities including identity management (RBAC, SSO/SAML), governance tools, and compliance features.
• Analyze market trends and AI adoption patterns to strengthen enterprise differentiation.
• Develop "land-and-expand" strategies to drive company-wide usage within organizations.
• Collaborate with engineering, design, and sales teams to deliver high-quality business outcomes.

Requirements

• 6+ years of product management experience, with at least 3 years building enterprise products.
• Proven track record of moving products up-market and supporting enterprise adoption.
• Experience building technical, analytics-driven products for complex workflows.
• Strong knowledge of RBAC, SSO/SAML, SCIM, audit logs, and compliance.
• Ability to evaluate technical tradeoffs involving infrastructure, APIs, and security.
• Must be based in the United States.

Nice to have

• Experience with regulated industries such as finance, healthcare, or the public sector.
• Familiarity with AI technologies and enterprise AI adoption challenges.

Culture & Benefits

• Competitive compensation package based on experience and impact.
• High ownership and autonomy in a strategic leadership role.
• Direct collaboration with enterprise customers and cross-functional teams.
• Exposure to cutting-edge AI technologies and emerging use cases.
• Flexible remote work environment designed for high-impact collaboration.